Mestrado em Ciências Florestais
URI Permanente para esta coleção
Nível: Mestrado Acadêmico
Ano de início: 2008
Conceito atual na CAPES: 5
Ato normativo: Portaria nº 398 de 29 de maio de 2025, publicado no DOU de 02/06/2025. Homologação do Parecer CNE/CES nº 176/2025
Periodicidade de seleção: Semestral
Área(s) de concentração: Ciências Florestais
Url do curso: https://cienciasflorestais.ufes.br/pt-br/pos-graduacao/PPGCFL/detalhes-do-curso?id=1424
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Submissões Recentes
- ItemAnálise temporal da perda de solo em unidades de conservação da Bacia do Rio Itapemirim(Universidade Federal do Espírito Santo, 2025-07-24) Lyra, Fernanda; Zanetti, Sidney Sara; https://orcid.org/0000-0001-9135-3925; http://lattes.cnpq.br/4564504261678929; Cecílio, Roberto Avelino; https://orcid.org/0000-0003-2894-2481; http://lattes.cnpq.br/5497084995510727; ttps://orcid.org/0009-0001-5836-1525; http://lattes.cnpq.br/5131011148563924; Oliveira, Francielle Rodrigues; https://orcid.org/0000-0002-7135-432X; http://lattes.cnpq.br/0392617073008925; Oliveira, Fabrícia Benda de; https://orcid.org/0000-0002-4456-0275; http://lattes.cnpq.br/9513837515797451Water erosion is one of the main processes of soil degradation, intensified by human activities and unplanned land occupation. In this context, Conservation Units (CUs) and their Buffer Zones (BZs) play a strategic role in containing these processes, especially in biomes such as the Atlantic Forest. This study aimed to analyze the spatiotemporal variability of soil loss between 1985 and 2023 in four CUs: Cachoeira da Fumaça State Park (PECF), Forno Grande State Park (PEFG), Frade e a Freira Natural Monument (MONAFF), and Mata das Flores State Park (PEMF), all located in southern Espírito Santo, along with their respective BZs. The Universal Soil Loss Equation (USLE) was applied using high-resolution geospatial data, integrating climatic, topographic, and land-use variables. Annual soil loss maps were generated, and statistical tests (Mann-Kendall, Sen’s Slope, and Pettitt) were applied to annual means and discretized spatial series (pixel by pixel). The results indicated a significant trend of soil loss reduction within the CUs, particularly from the second decade of the 2000s onward. The BZs also showed a decline, but with greater spatial and statistical variability. It is concluded that CUs have been effective in controlling erosion, while BZs still require more specific management strategies
- ItemDetecção de estradas florestais usando dados LiDAR(Universidade Federal do Espírito Santo, 2025-07-30) Brisson, Estefany Vaz; Almeida, André Quintão de; https://orcid.org/0000-0002-5063-1762; http://lattes.cnpq.br/5929672339693607; Fiedler, Nilton César ; https://orcid.org/0000-0002-3895-661X; http://lattes.cnpq.br/8699171075880935; https://orcid.org/0009-0002-2570-7435; http://lattes.cnpq.br/4251068388633494; Lucas, Fernanda Moura Fonseca ; https://orcid.org/0000-0002-3181-2568; http://lattes.cnpq.br/7275203342714463; Ramalho, Antônio Henrique Cordeiro ; https://orcid.org/0000-0002-0037-5422; http://lattes.cnpq.br/7064955262943008; Sampietro, Jean Alberto ; https://orcid.org/0000-0001-6555-7166; http://lattes.cnpq.br/2015018876517184Knowledge of forest road networks is essential for sustainable forest management, including silvicultural operations, harvesting, transportation, and firefighting. Mapping roads in dense forest areas using costly field methods or low-spatial-resolution sensing can be inaccurate, especially on narrow roads or under canopy cover. Light Detection and Ranging (LiDAR) technology has a high penetration capacity in difficult-to-access forest environments with dense vegetation, thus presenting itself as a promising technology to support forest road detection. Therefore, the objective of this study was to detect different types of forest roads in commercial pine plantations using data from airborne LiDAR sensors. The research was structured in two sections: in the first section, an accurate and representative Digital Terrain Model for dense forests was developed based on LiDAR sensor data; in the second section, a classification of covered and uncovered roads was conducted using the automatic image classification method Random Forest in the areas of interest. The area comprises approximately 800 ha of forest aged 7 to 16 years and approximately 4,143 km of roads located in northern Spain. Image segmentation techniques and the Random Forest automatic classifier were used to map the covered and uncovered forest roads. The input variables for the classification were based on height and intensity values generated by the LiDAR point cloud. The classification process achieved an overall accuracy of 97%, resulting in LiDAR-identified forest roads for 86% of the reference roads (field survey). The height variable stood out in the identification of Exposed Roads (ER), and the combination of height and intensity variables stood out in the identification of Covered Roads (CR). The quality metrics composed of completeness, correctness, and quality individually obtained values for ER (74%, 76%, and 60%) and for CR (86%, 66%, and 60%). Although the highest integrity (completeness) was observed for covered roads, the lowest errors were observed in identifying exposed roads. However, due to the road's length being 1,903 km longer than that of the covered road, the error distribution was disproportionate. The proposed method can provide accurate road mapping to support forest management, although improvements are needed in identifying roads below the canopy, which can be improved by adding more detailed site features
- ItemEfeito das condições climáticas e amostragem em parâmetros anatômicos da madeira de diferentes materiais genéticos de Eucalyptus(Universidade Federal do Espírito Santo, 2025-05-30) Silva, Renata Guilherme Cândido da; Moulin, Jordão Cabral ; https://orcid.org/0000-0002-5543-3853; http://lattes.cnpq.br/3577181658928552; Silva, Ana Paula Câmara da; https://orcid.org/0000-0001-7311-2159; http://lattes.cnpq.br/2191958294398301; Dambroz, Graziela Baptista Vidaurre ; https://orcid.org/0000-0001-9285-7105; http://lattes.cnpq.br/2988548512574129; https://orcid.org/0000-0003-2862-5179; http://lattes.cnpq.br/1201287928571230; Almeida, Maria Naruna Felix de ; https://orcid.org/0000-0001-6360-7780; http://lattes.cnpq.br/5436388734663217; Rodrigues, Brunela Pollastrelli; https://orcid.org/0000-0001-9108-1202; http://lattes.cnpq.br/9081214933626123; Ataide, Glaycianne Christine Vieira dos Santos ; https://orcid.org/0000-0002-1722-4073; http://lattes.cnpq.br/8641908177310762The productivity, basic density, and anatomical parameters of wood from species of the genus Eucalyptus are influenced by genetic and environmental factors. Understanding how these factors interact is essential for enhancing silvicultural strategies, selecting genetic materials, and increasing the efficiency of the forestry industry. This dissertation aimed to evaluate the effect of climatic conditions and sampling point on the variation of anatomical parameters of wood from different genetic materials of Eucalyptus, cultivated in three growth sites with varying degrees of aridity (São Paulo - MAI: -0.03; Bahia - MAI: -2.09; Maranhão - MAI: -3.27). To achieve this, 74 trees were sampled, with discs collected at positions 0, 25, 50, 75, and 100% of the commercial height and at DBH (1.3 m). In the first chapter, the influence of climatic conditions on productivity, basic density, and wood anatomy of 05 clones at six years of age was evaluated. Significant variations were observed among sites for all evaluated variables, with a strong correlation noted between the modified aridity index (MAI) and characteristics such as basic density, fiber dimensions, and vessel frequency. The least arid site (SP) showed higher productivity and more developed fibers, while increased aridity resulted in higher wood density and an increase in the Runkel index. Genotype x environment interaction was found to be crucial for clone adaptation and performance. In the second chapter, variation in the base to-top direction of anatomical characteristics was assessed, focusing on the representativeness of DBH and the development of predictive models. Fiber length and width and lumen diameter did not show a clear trend along the stem, while vessels exhibited a slight increase from base to top. Model analysis demonstrated that more accurate estimates of anatomical characteristics can be obtained by combining two to three sampling positions, reducing the need for sampling at all positions. These results underscore the importance of modeling and careful selection of sampling points for anatomical studies and industrial applications
- ItemDesempenho colorimétrico da madeira de espécies de clima temperado ao intemperismo em clima tropical(Universidade Federal do Espírito Santo, 2025-02-28) Pereira, Kamilly da Silva; Santos, Mário Ferreira Conceição; https://orcid.org/0000-0003-1981-834X; http://lattes.cnpq.br/7815489824754185; Batista, Djeison Cesar; https://orcid.org/0000-0003-4427-2457; http://lattes.cnpq.br/2211842232280717; https://orcid.org/0009-0008-8583-3349; http://lattes.cnpq.br/1386267569892406; Ataíde, Glaycianne Christine Vieira dos Santos; https://orcid.org/0000-0002-1722-4073; http://lattes.cnpq.br/8641908177310762; Gouveia, Fernando Nunes; https://orcid.org/0000-0003-2807-205X; http://lattes.cnpq.br/3243546427964883The appearance of wood, including its color and texture, is one of the most important characteristics for its use in solid products such as furniture, cladding, and terrace decking. Weathering can cause significant changes in the color of wood products used in outdoor applications, affecting their market acceptance and long-term performance. This study evaluated the colorimetric performance of four temperate wood species (Picea abies, Pinus sylvestris – heartwood and sapwood, Fagus sylvatica, and Robinia pseudoacacia) exposed to natural weathering under tropical climate conditions (Aw) in southeastern Brazil for 52 weeks. Ten replicate specimens per species were tested, measuring 25 x 50 x 150 mm. Wood color was measured using the CIE-Lab* system with a portable spectrophotometer. The colorimetric parameters lightness (L*), red-green (a*), and yellow-blue (b*) chromaticity coordinates were measured and used to calculate the color difference (ΔE). Wood color was monitored weekly during the first four months of testing. Afterwards, measurements were taken at four-week intervals. A perceptible color change in all temperate species was detected after five weeks of outdoor exposure. The heartwood of Pinus sylvestris showed the highest color stability. It is noteworthy that the temperate species were tested under severe conditions, as no protective coating was applied to the specimen surfaces. Therefore, for future studies, it is recommended to expose specimens with surface finishing products such as varnish and waxes.
- ItemEfeito das condições climáticas e amostragem em parâmetros anatômicos da madeira de diferentes materiais genéticos de Eucalyptus(Universidade Federal do Espírito Santo, 2025-05-30) Silva, Renata Guilherme Cândido da; Moulin, Jordão Cabral; https://orcid.org/0000-0002-5543-3853; http://lattes.cnpq.br/3577181658928552; Silva, Ana Paula Câmara da; https://orcid.org/0000-0001-7311-2159; http://lattes.cnpq.br/2191958294398301; Dambroz, Graziela Baptista Vidaurre; https://orcid.org/0000-0001-9285-7105; http://lattes.cnpq.br/2988548512574129; https://orcid.org/0000-0003-2862-5179; http://lattes.cnpq.br/1201287928571230; Ataíde, Glaycianne Christine Vieira Dos Santos; https://orcid.org/0000-0002-1722-4073; http://lattes.cnpq.br/8641908177310762; Rodrigues, Brunela Pollastrelli; https://orcid.org/0000-0001-9108-1202; http://lattes.cnpq.br/9081214933626123; Almeida, Maria Naruna Felix de; https://orcid.org/0000-0001-6360-7780; http://lattes.cnpq.br/5436388734663217The productivity, basic density, and anatomical parameters of wood from species of the genus Eucalyptus are influenced by genetic and environmental factors. Understanding how these factors interact is essential for enhancing silvicultural strategies, selecting genetic materials, and increasing the efficiency of the forestry industry. This dissertation aimed to evaluate the effect of climatic conditions and sampling point on the variation of anatomical parameters of wood from different genetic materials of Eucalyptus, cultivated in three growth sites with varying degrees of aridity (São Paulo - MAI: -0.03; Bahia - MAI: -2.09; Maranhão - MAI: -3.27). To achieve this, 74 trees were sampled, with discs collected at positions 0, 25, 50, 75, and 100% of the commercial height and at DBH (1.3 m). In the first chapter, the influence of climatic conditions on productivity, basic density, and wood anatomy of 05 clones at six years of age was evaluated. Significant variations were observed among sites for all evaluated variables, with a strong correlation noted between the modified aridity index (MAI) and characteristics such as basic density, fiber dimensions, and vessel frequency. The least arid site (SP) showed higher productivity and more developed fibers, while increased aridity resulted in higher wood density and an increase in the Runkel index. Genotype x environment interaction was found to be crucial for clone adaptation and performance. In the second chapter, variation in the base to-top direction of anatomical characteristics was assessed, focusing on the representativeness of DBH and the development of predictive models. Fiber length and width and lumen diameter did not show a clear trend along the stem, while vessels exhibited a slight increase from base to top. Model analysis demonstrated that more accurate estimates of anatomical characteristics can be obtained by combining two to three sampling positions, reducing the need for sampling at all positions. These results underscore the importance of modeling and careful selection of sampling points for anatomical studies and industrial applications.